How to use natihash/vit_base_patch16_clip_224.laion2b_linear_probe with timm:
import timm model = timm.create_model("hf_hub:natihash/vit_base_patch16_clip_224.laion2b_linear_probe", pretrained=True)
How to use natihash/vit_base_patch16_clip_224.laion2b_linear_probe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="natihash/vit_base_patch16_clip_224.laion2b_linear_probe") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("natihash/vit_base_patch16_clip_224.laion2b_linear_probe", dtype="auto")
